Solution explainer

Skill a5c-ai/babysitter/library/specializations/algorithms-optimization/skills/solution-explainer

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install

npx -y skills add a5c-ai/babysitter --skill solution-explainer

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Generate clear explanations of algorithm solutions

SKILL.md

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Solution Explainer Skill

Purpose

Generate clear, educational explanations of algorithm solutions suitable for interviews, learning, and documentation.

Capabilities

Step-by-step solution walkthrough
Time/space complexity explanation
Alternative approach comparison
Common mistake highlights
Visual aids generation
Interview-style explanation formatting

Target Processes

interview-problem-explanation
leetcode-problem-solving
mock-coding-interview
algorithm-implementation

Explanation Framework

Problem Understanding: Restate the problem clearly
Approach Overview: High-level strategy
Algorithm Details: Step-by-step breakdown
Complexity Analysis: Time and space with justification
Code Walkthrough: Annotated implementation
Edge Cases: Special scenarios handled
Alternatives: Other valid approaches

Input Schema

{
  "type": "object",
  "properties": {
    "problem": { "type": "string" },
    "solution": { "type": "string" },
    "language": { "type": "string" },
    "depth": {
      "type": "string",
      "enum": ["brief", "standard", "detailed"]
    },
    "includeVisuals": { "type": "boolean", "default": false },
    "interviewStyle": { "type": "boolean", "default": false }
  },
  "required": ["problem", "solution"]
}

Output Schema

{
  "type": "object",
  "properties": {
    "success": { "type": "boolean" },
    "explanation": { "type": "string" },
    "complexity": { "type": "object" },
    "commonMistakes": { "type": "array" },
    "alternatives": { "type": "array" },
    "visuals": { "type": "array" }
  },
  "required": ["success", "explanation"]
}